ZipRecruiter

Log In

1

Data Science Microsoft Jobs in Virginia (NOW HIRING)

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ... Strong Excel and Microsoft Office skills. * Ability to explain technical findings to non-technical ...

Peraton

Data Scientist with Security Clearance

Herndon, VA · On-site

$112K - $179K/yr

Utilize data visualization and graphical applications, to include Microsoft Office (Power BI) and Tableau. * Utilize major data science languages, such as R and Python. * Perform management and ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ... Strong Excel and Microsoft Office skills. * Ability to explain technical findings to non-technical ...

Deloitte

AI and Data Science Engineer III

Richmond, VA · On-site +1

$113K - $136K/yr

... Microsoft Azure, or Google Cloud Platform for data platforms and scalable compute * 4+ years of ... AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ...

Deloitte

AI and Data Science Engineer III

Mclean, VA · On-site +1

$115K - $139K/yr

... Microsoft Azure, or Google Cloud Platform for data platforms and scalable compute * 4+ years of ... AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ...

next page

Showing results 1-20

All JobsData Science Microsoft JobsData Science Microsoft Jobs in Virginia

Data Science Microsoft information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do data science microsoft jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data science microsoft in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Science Microsoft vs Data Analyst Microsoft?

AspectData Science MicrosoftData Analyst Microsoft
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often includes certifications in machine learning or AIBachelor's degree in Statistics, Business, or related fields; certifications in data analysis tools are common
Work EnvironmentFocus on developing models, algorithms, and predictive analytics; often involves programming and machine learningFocus on interpreting data, generating reports, and supporting decision-making; involves data visualization and SQL
Employer & Industry UsageUsed across tech companies, finance, healthcare, and consulting firms for advanced analyticsCommon in retail, finance, healthcare, and corporate sectors for business insights

Data Science Microsoft professionals typically develop predictive models and work with machine learning, requiring advanced technical skills. Data Analysts Microsoft focus on analyzing data sets, creating reports, and supporting strategic decisions. Both roles are vital in data-driven organizations but differ in technical complexity and scope.

What are the key skills and qualifications needed to thrive as a Data Scientist at Microsoft, and why are they important?

To thrive as a Data Scientist at Microsoft, you need a strong background in statistics, machine learning, data analysis, and programming languages such as Python or R, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like Azure Machine Learning, SQL databases, and version control systems, as well as experience with big data technologies, is typically required. Strong problem-solving abilities, effective communication, and collaboration skills help you present insights to stakeholders and work within cross-functional teams. These skills are crucial for translating complex data into actionable business decisions and driving innovation within Microsoft’s technology-driven environment.

What is a Data Scientist at Microsoft?

A Data Scientist at Microsoft is a professional who uses statistical analysis, machine learning, and data visualization to solve business problems and improve Microsoft’s products and services. They work with large datasets, build predictive models, and collaborate with software engineers, product managers, and other stakeholders. Their tasks may include identifying trends, developing data-driven solutions, and communicating insights to both technical and non-technical audiences.

What are some typical collaboration opportunities for Data Scientists at Microsoft?

Data Scientists at Microsoft frequently collaborate with cross-functional teams including software engineers, product managers, and UX designers. These collaborations are essential for integrating data-driven insights into product development and ensuring that machine learning models are effectively deployed at scale. Team members often participate in regular sprint meetings, brainstorming sessions, and peer reviews. This collaborative environment not only enhances the impact of their work but also provides valuable learning and career growth opportunities.
What are popular job titles related to Data Science Microsoft jobs in Virginia? For Data Science Microsoft jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science Microsoft jobs in Virginia look for? The top searched job categories for Data Science Microsoft jobs in Virginia are:
What cities in Virginia are hiring for Data Science Microsoft jobs? Cities in Virginia with the most Data Science Microsoft job openings:
Data Science Microsoft jobs near you
Data Scientist - Object Based Intelligence (OBI) Analytic Efficiency

Data Scientist - Object Based Intelligence (OBI) Analytic Efficiency

Peraton

Herndon, VA • On-site

$104K - $166K/yr

Full-time

Posted 12 days ago

Peraton rating

8.2

Company rating: 8.2 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

46th of 204 rated it services

Job description

Responsibilities
The Data Scientist - Object Based Intelligence (OBI) Analytic Efficiency utilizes expertise in discovering and analyzing complex data sets and data sources to derive actionable insights using statistical methods, machine learning and data visualization tools. This position will focus on OBI Analytic Efficiency. Responsibilities are, but are not limited to:
Data Science specifically:
  • Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis.
  • Utilize scientific techniques to correlate data into graphical, written, visual and verbal narrative products to inform high quality analytic decisions.
  • Proactively retrieve data from various sources and analyze data for better understanding.
  • Build and utilize Artificial Intelligence (AI)/ Machine Learning (ML) tools to automate processes for efficiencies.
  • Build high quality prediction systems.
  • Utilize data visualization and graphical applications, to include Microsoft Office (Power BI) and Tableau.
  • Utilize major data science languages, such as R and Python.
  • Perform management and merging of disparate data sources, preferably through R, Python, or SQL.
  • Perform statistical analysis, and data mining algorithms.

OBI specifically:
  • Design, develop, and evaluate leading-edge algorithmic intelligence concepts, practices, and technologies for implementation into OBI.
  • Recommend advanced statistical or mathematical techniques and methodology that may permit identification and evaluation of alternatives.
  • Assist in model formulation or experimental test design.
  • Share joint in team responsibility for development of advanced analytic techniques and assessments.
  • Collaborate with team members to develop and refine exploratory efforts leveraging novel technologies.
  • Automate ontologies and associated components to ensure semantic accuracy, relevance, and interoperability.
  • Evaluate data science, AI/ML, and other advanced analytic methods for risks, biases, and limitations.
  • Collaborate with team members to develop and refine semantic data retrieval and reasoning across knowledge graphs through development and optimization of data queries via multiple protocols (e.g. GraphQL, SPARQL, SHACL, SQL).
  • Maintain currency with independent research on methods of analysis in government, industry, and academia to keep abreast of the state of the art and keep senior leadership informed.
  • Provide incremental enhancements to tools, capabilities, processes, and methods.
  • Advisor on emerging data science methods, tools, algorithms, training, or requirements.
  • Serve as the primary POC for data science expertise, ensuring tradecraft compliance and analytic standards as it relates to data science techniques on the contract.
  • Ensure compliance with tradecraft standards and adherence to best practices in AI system development and deployment.
  • Assess OBI documentation for completeness, accuracy, and thoroughness, and provide detailed feedback to owners and developers.
  • Provide consultation and guidance to owners, developers, and stakeholders on OBI governance and knowledge modeling, including best practices for AI system development, testing, and deployment.
  • Collaborate with team members to identify and implement practices for responsible AI development, to include bias detection, hallucination recognition, prompt fairness testing, adherence to analytic tradecraft standards and security policies.
  • Support stakeholders in translating technical documentation into analytic tradecraft compliant language.
  • Support and automate entity recognition and extraction summarization, in accordance with analytic tradecraft standards.
  • Conduct audits to ensure compliant use of systems for approved use-cases in all source analysis.
  • Develop and maintain a repository of audit findings and recommendations to facilitate knowledge sharing and best practices.
  • Provide technical input into and participate in the development of software and computer graphics systems.
  • Writes scripts to drive data science workflows.
  • Work with ambiguous information, deconstruct key questions, leverage spatial data, exploit application programming interfaces, suggest methodologies, and develop data schemas to structure observations.
  • Work with vendors and software development to implement distributed algorithms.

Qualifications
Required Qualifications:
  • Bachelor's degree in a relevant field, such as Data Science, with a minimum of 8 years of work experience.
  • Experience in data visualization and use of graphical applications, including Microsoft Office Power BI and Tableau.
  • Experience in major data science languages, such as R and Python.
  • Experience in managing and merging disparate data sources, preferably through R, Python, or SQL.
  • Experience in statistical analysis and developing data mining algorithms.
  • Experience with large data multi-INT analytics, ML, and automated predictive analytics.
  • Experience in algorithm development, data structures, and software development practices.
  • Working knowledge of coding and scripting, information science, mathematics, machine learning, visual analytic modeling tools, and relevant Standard Operating Procedures (SOPs) to create repeatable, widely applicable procedures to support all-source intelligence analysis and production.
  • Analytical and critical thinking skills to interpret complex data and draw meaningful conclusions.
  • Ability to work collaboratively with users and stakeholders.
  • Capacity to adapt to changing situations to prioritize tasks effectively.
  • Excellent communication, analytical, and problem-solving skills.

Preferred Qualifications:
  • Master's degree in a relevant field, such as Data Science.
  • Professional or graduate certificate in Data Science from a university or major online learning platform,
  • Experience working in the customer environment is preferred.

Security Clearance:
This Position requires an Active TS/SCI and the ability to obtain a Poly, US Citizenship is required to hold this clearance.
Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range
$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

What Peraton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Peraton logo

About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

View All Peraton Jobs

Apply